Theorem 2.1 ([1]}) 

Under mild conditions given in the 2016 paper, the limiting distribution above has density
\(r_{\mathbf {y}} ( { \theta } ) = \frac{ f( \mathbf {y} | { \theta } ) J ( \mathbf {y} , { \theta } ) }{ \int f \left( \mathbf {y} | { \theta } ^ { \prime } \right) J \left(\mathbf {y} , { \theta } ^ { \prime } \right) d { \theta } ^ { \prime } }, \) 
